Storm of Money: Hurricanes and Insurance
June 05, 2012
By TONY BARTELME
The Post and Courier
Some things are certain: As the earth
spins, air moves swiftly around the equator, creating the trade winds.
It's also certain that storms will form
because the sun shines bright where these trades blow, turning sea water into
sky-high clouds of steam that inevitably collapse, a process announced by
torrents of rain and thunder.
And we know for sure from history and
physics that a few of these air masses will spin counterclockwise, slowly at
first, then faster and with enough momentum to flatten cities, alter destinies,
and if hooked into some fantastic electric grid, pack enough energy to light
every bulb on earth.
Beyond these certainties, hurricanes
challenge us with their unknowns. They are so infinitely changeable that it may
be mathematically impossible to predict their exact paths more than a few weeks
in advance.
Because we can't predict the future,
the beginning of hurricane season is a time of warnings and pleas to prepare.
Like the humidity, anxiety settles in for the summer.
South Carolinians also try to tame this
uncertainty by forking over $1.3 billion in homeowner's insurance premiums
every year. How insurance companies set these rates is a story that touches all
of us, but especially those who own homes in coastal counties.
It's a story that leads to globally
recognized scientists, including some with data that show a home on the coast
might not experience catastrophic hurricane winds for hundreds of years. It
features profit-seeking insurance companies that hiked rates, frustrated
homeowners who scrambled to pay for these increases, and brilliant researchers
who invented controversial computer models dubbed "black boxes."
It shines a light on South Carolina's
insurance regulators, who for the past decade watched rates soar but did almost
nothing to find out how these secret black boxes truly affect homeowners'
rates.
It could begin almost anywhere, but why not start at a cocktail party?
Fear
of hurricanes
Three years ago, Daryl Ferguson and his
wife were mingling with friends in Beaufort when a familiar topic came up:
"Have you been watching TV?" a retiree from Connecticut asked
Ferguson. "A hurricane is tracking right at Beaufort County."
Another friend chimed in: "They
don't hit us that often, but when they do it's awful. We almost got wiped out
in 1893." These fears got personal when two friends told Ferguson after
church that they were moving back to Ohio. "I said, 'You guys love the Lowcountry,
why are you leaving?' And my friend said that his wife just worries about the
hurricanes all the time."
Ferguson began to wonder: What is the
true risk?
Ferguson, 73, isn't your ordinary
retiree. He jabs the air when he makes a point and has an authoritative voice
that seems to echo even in a carpeted room. For 10 years, he was president and
chief executive officer of Citizens Utilities, then the largest diversified
utility company in the nation. Between 2000 until his retirement in 2005, he
was chairman of Hungarian Telephone, sometimes matching wits with Russian mafia
figures. "I like complex problems," he said. So three years ago he
began to learn about the complexities of hurricanes.
Ferguson's first call was to the National
Hurricane Center, the National Oceanic and Atmospheric Administration's
concrete fortress in Miami. He spoke to the head of the center's science unit
and other meteorologists. He filled binders with charts and notes.
Over time, Ferguson learned how the jet
stream undulates like a dropped firehose across the United States, but that it
tends to twist south in the fall, sending tropical storms south into the Gulf
of Mexico or north toward the Outer Banks, away from South Carolina.
He felt more reassured as he discovered
that wind fields on the west side of hurricanes usually are smaller and weaker
than on the east side. He learned about a quirk in South Carolina's geography.
South Carolina is triangular, like a
poorly cut piece of pie, with the crust side facing the ocean. This triangle is
positioned in such a way that the northern part of the coast juts about 150
miles farther into the ocean than the southern section.
Put another way, North Myrtle Beach is
150 miles closer to the Atlantic hurricane lanes than Hilton Head.
The concave shape of the coast makes
the area from Charleston to Jacksonville less vulnerable to hurricanes, said Chris
Landsea, science and operations officer at the hurricane center, one of the
experts Ferguson contacted. "South Carolina does indeed get struck by
major hurricanes," Landsea said, but the state's risk "is relatively
lower" than Florida, coastal Louisiana and North Carolina'sOuter Banks.
Ferguson heard similar statements from
other forecasters. "I was stunned. They all kept saying the words
'relatively low risk.'"
Relatively low risk? In Ferguson's
mind, that went against the conventional wisdom that South Carolina is a
hurricane magnet. It also seemed at odds with history.
Since 1851, 30 hurricanes had spun
within 50 miles of South Carolina, according to NOAA records. That was one
about every five years, which seemed to be the definition of vulnerable. But a
closer look at the data was revealing: Of these 30 storms, 23 were minor
hurricanes, such as 2004's Charley and Gaston, which caused minimal damage. The
remaining seven had winds greater than 110 mph and indeed wrought devastation
where they had gone ashore. The Sea Islands Hurricane of 1893 killed as many as
2,000 people around Beaufort; Hugo in 1989 took 26 lives in South Carolina and
caused $6 billion in damage.
But even these catastrophic hurricanes
often left large swaths of South Carolina unscathed. Hugo, for instance, did
little damage south of Seabrook Island, and more than half of the state saw
winds of less than 60 mph.
So while it was correct to say seven
major hurricanes had touched some area in South Carolina since 1851, about one
every 23 years, that didn't really say much about the long-term vulnerability
of a particular house in Beaufort or Charleston. And in the end, Ferguson asked
himself: Don't people want to know what's likely to affect them personally?
Different
perspective
When scientists look at specific
locations instead of areas as large as states, the odds of a home being hit by
a hurricane change dramatically.
Kerry Emanuel is a professor of
atmospheric sciences at the Massachusetts Institute of Technology and one of
the world's leading authorities on hurricanes. At The Post and Courier's
request, Emanuel's company, WindRisk Tech LLC, looked at 14 places along South
Carolina's coast to see what kinds of winds these spots might experience over
time.
Most scientists use historical data on
wind speeds, barometric pressures and other variables to make their
predictions, even though they acknowledge that this data has its shortcomings. Some
observations go back to the mid-1800s, but truly reliable measurements have
been taken only in recent decades.
Statistical analyses typically need
vast amounts of data to be accurate, but Emanuel and other modelers overcome
this dearth with a neat bit of mathematical sleight of hand: Using principles
of physics and other factors, they generate tens of thousands of virtual
hurricanes on their computers. Doing this creates an archive equivalent to
5,000 years of storms, he said.
The computer simulations showed that a
point in Charleston was likely to experience 74 mph winds, or a minimal
Category 1 hurricane, about every 37 years over a 5,000-year period. The model
showed that a catastrophic hurricane, one with 115 mph winds, would on average
affect a spot in Charleston once every 370 years. The situation on Hilton Head
was even less threatening. A Hilton Head homeowner would be expected to
experience a minimal Category 1 storm every 51 years, and a Category 3 storm
about every 430 years, the WindRisk model showed.
Emanuel, Landsea and other experts
cautioned that these calculations, known as "return periods," don't
predict the actual timing of a hurricane's next visit.
"Hurricanes don't care what
happened last year," Landsea said. "You can get hit twice in one year,
or one year after the next. So the return period is more of an
abstraction." But the studies do give people some idea of their
vulnerability to hurricanes.
To Ferguson, data like this was a
bombshell.
It meant that while South Carolina as a
whole was likely to experience minimal hurricane-force winds every few years,
the risk of those winds affecting him personally were about once every half
century.
It meant that the truly disastrous ones
were rare and certainly not the impending train wrecks that weather channels
and emergency planners sometimes suggest are on the way.
But if that was all true, he wondered,
why were his insurance rates so high?
What
we pay
South Carolinians pay on average about
one-third more for their homeowners' insurance than property owners in North
Carolina and Georgia, according to a Post and Courier analysis of data from the
National Association of Insurance Commissioners. Last year, South Carolina
insurers and the state's wind pool collected $1.3 billion in home insurance
premiums, nearly three times what they charged in 1996. Statewide, average
premiums have risen 71 percent during the past decade.
But this average understates the impact
in coastal counties. The average premium for someone with $150,000 in insurance
is about $2,000 in Charleston County and $1,840 in Beaufort County. The farther
inland you go, the less you pay. In Berkeley County, the average premium is
about $1,200; in Dorchester County, it's $1,000, and upstate in Greenville
County, it's only $720, according to S.C. Department of Insurance records.
Today, it's not unusual for some
Lowcountry homeowners to pay more in insurance than property taxes. How did it
get so bad?
The S.C. Insurance News Service, a
nonprofit group funded by insurance companies, cites a mix of factors: dramatic
growth in coastal South Carolina; rising property values; increased building
costs; and new meteorological predictions that the world has entered a period
of higher storm frequencies.
But it's also helpful to rewind to
1989, when Hugo rammed like a cannonball into South Carolina's midsection. John
Richards was the state's insurance commissioner at the time. "We hadn't
had much experience with catastrophes in the modern era until Hugo."
The storm caused $6 billion in damages,
which at that time made it the most expensive insurance disaster in the
nation's history.
It also was a shining moment for the
industry. Teams of agents swooped in. Amid the debris, they often wrote checks
on the spot; billions of insurance dollars spurred a building boom. Richards
said only two small companies were shut down because they were insolvent.
Lawsuits were rare. "The insurance companies did a wonderful job after
Hugo," he said.
But it marked the end of an era -- in
meteorological terms and in insurance company boardrooms.
Scientists had long wondered why there
had been a lull in Atlantic hurricanes from the 1940s until the early 1990s.
Some researchers theorized that it was a natural climate cycle called Atlantic
Multidecadal Oscillation. Then Kerry
Emanuel and Michael E. Mann, a prominent Penn State climatologist, noticed
something else: Hurricane frequency seemed to correspond to pollution levels in
the tropics.
They found that pollutants rose
dramatically from the 1940s through the 1970s as the world's industrial
production grew. These pollutants reflected sunlight, reducing the amount of
energy hitting ocean waters in the tropics, the heat source that gives birth to
the storms.
"We had suppressed them,"
Emanuel said of the hurricanes.
But those pollutants began to dissipate
with new clean-air laws in the 1970s and 1980s. More sunlight reached the
tropics by the early 1990s. Emanuel and Mann theorized that the warming oceans
in the tropics would fuel a frenzy of new storms, a theory supported by
subsequent studies.
Meanwhile, insurance companies thought
Hugo was an aberration, said Richards, the former South Carolina insurance
commissioner. "They thought, Thank goodness, this is just a storm we'll
never see again for a decade or two."
Even after Hugo, insurance experts
assumed that storms in heavily populated Florida would cause damages in the low
billions of dollars, losses they figured they could swallow.
Then Andrew hit South Florida in 1992.
It was a compact hurricane, more like a giant tornado; hurricane-force winds
formed a bullet of wind 40 miles wide that entered south of Miami, churned
through the Everglades and exited into the Gulf just four hours later.
Inside this maelstrom, 140 mph winds
hammered the city of Homestead and other communities. Richards rushed south to
help his colleagues. "The night I arrived, I was in Tallahassee at the
house of the Florida insurance commissioner. I said, 'One thing you have to be
aware of is that your (insurance) industry is taking quite a hit. And you
better send teams of examiners to those companies as soon as possible.' He
laughed and said, 'John, I'm not worried.'"
Richards was right, of course. Andrew
caused about $16 billion in insured damages that triggered more than 600,000
claims. Eleven insurance companies went belly up, and the finances of dozens of
others were shaken.
Tens of thousands of policyholders were
left stranded. While those in Andrew's relatively narrow path began rebuilding,
Allstate announced plans to cancel 300,000 of its 1.1 million policies in Florida
and raise rates 32 percent, a plan it scaled back after furious protests from
homeowners.
Richards said the relationship between
insurance companies and homeowners began to sour.
"After Hugo, lawsuits against
insurance companies were in the dozens, but after Andrew, they were in the
thousands. It shows there was a different climate after Andrew."
Hurricane Andrew was particularly
helpful, though, to a woman in Boston named Karen Clark, head of a little-known
company called Applied Insurance Research.
While other insurers had predicted
potential insurance losses in the low billions of dollars, Clark had warned
that a major South Florida storm could generate a $30 billion insurance
industry hit.
Her calculations were based on a novel
way of looking at risk.
In the past, insurance companies
tallied potential losses in a particular area and stopped writing new policies
when they felt their exposure was too high. But Clark questioned how you could
truly understand risk without knowing your odds of being harmed.
So she plugged historical data on
hurricane strikes into computer programs along with data about homes and
buildings -- potential losses for anyone who insured these structures.
Then she ran computer simulations of
what might happen in various scenarios.
Her success in predicting losses before
Andrew launched the new industry of "catastrophe modeling." Other
companies soon created their own models, which became known in the industry as
"black boxes" because their algorithms and inputs were kept secret
for competitive reasons.
These mysterious black boxes would
increasingly determine what homeowners from the Gulf Coast to New England
shelled out in premiums.
Higher
than Mississippi?
During his career as a corporate
executive, Daryl Ferguson had moved to different cities across the country, but
when he finally retired on a bluff overlooking the Whale Branch River near Beaufort,
he thought his property insurance seemed unusually high.
Now, with his new understanding of
hurricane risks in South Carolina, he was even more convinced that his rates
were out of whack.
"My insurance company, USAA, is
terrific, so I did a test." He asked company officials how much it would
cost to insure a newly built $400,000 home in Gulfport, Miss., versus one in Beaufort
County. Gulfport had been hit hard by Katrina
and Rita and is considered particularly vulnerable to hurricanes. "I
couldn't believe what they told me." His hypothetical Gulfport bill would
be one-third the price of his Beaufort premium. "I turned to my wife and
said, 'This is like Sherlock Holmes; one question leads to another.'?"
Ferguson had stumbled onto something.
The average premium for $400,000 homes in South Carolina was the seventh
highest in the nation, roughly the same as tornado-prone Oklahoma, according to
the National Association of Insurance Commissioners.
"I was shocked," Ferguson
said. "My first instinct was to go to the Department of Insurance and ask
them why they're approving these rates, but I decided to do some homework
first."
He began looking for Martin Simons.
'Impact every citizen'
Few people outside the insurance
industry knew more about the black boxes than Simons, a bookish man with a
scraggly salt-and-pepper beard who, unknown to homeowners, had long had a major
impact on what they paid in insurance.
Between 1985 and 1997, Simons had been
deputy director and chief actuary for the state Department of Insurance. In
that capacity he had forced some insurers to reduce rates when their profits
were too high and urged others to raise rates when his analyses showed they
were too low. He left the agency when he felt state leaders had become too
anti-regulation, and he had gone on to build a national reputation in the
arcane world of actuarial analyses.
When Florida regulators established the
nation's first independent panel to review how computer models affect rates,
they hired Simons. He later did work for Maryland and California, and
conveniently lived in Columbia. Ferguson met Simons for lunch at the Chili's
restaurant next to Simons' granddaughter's auto repair shop in Summerville. "The
first words he said to me were, 'Daryl, I know what you want.'" Ferguson
was puzzled. "Then he said, 'You want to know why the Department of
Insurance doesn't regulate its homeowner industry?' It was exactly what I
wanted to know."
Simons had long lamented the lack of
transparency about the catastrophe models. In 2003, State Farm requested a 29
percent increase in its rates. This hike would ripple across the state because State
Farm controls about 25 percent of the homeowner's insurance market.
State Farm justified the increase in
part because of results from the black boxes.
At the time, the state Department of
Consumer Affairs was charged with reviewing rate increases, and the agency
hired Simons to scrutinize State Farm's proposal. In sworn testimony before the
hearing, Simons said the request was "seriously flawed," largely in
part because state regulators knew nothing about how catastrophe models work.
The stakes were huge, he testified:
Unscrupulous insurers theoretically could choose a model to set rates as high
as possible. Or they could use a model's calculations to justify reduced rates
to undercut their competitors, putting the company at risk if a storm struck.
"Eventually all property insurance
premiums for hurricane coverage in South Carolina will be determined using the
outputs of stochastic computer hurricane simulation models," he testified,
adding that the insurance industry also uses these black boxes to assess
terrorism risks and in health, auto and life insurance calculations.
How the state deals with these models
"will impact every citizen in this state."
Minutes before the rate case was set to
begin, State Farm settled for a 19 percent increase and an agreement that it
wouldn't oppose an independent panel to examine catastrophe models.
That review didn't happen.
The Department of Insurance, with money
from the S.C. Sea Grant Consortium, asked three experts to look at the models.
One was Peter Sparks, a noted civil engineering professor at Clemson University
who had done extensive studies about wind speeds and damage.
Sparks has found that the National
Hurricane Center tends to overstate wind speeds inland, and that "an
unwise modeler using National Hurricane Center reports could easily get a
distorted picture of the wind climate and recommend rates far higher than
justified."
He said that when he and the other
panel members asked the modeling companies for a look at the assumptions built
into their black boxes, "They said that the information was proprietary
and would not disclose their methods. We said we could not judge the soundness
of them, and the Department of Insurance eventually abandoned the whole exercise."
Meanwhile, the General Assembly
eviscerated the budget of the S.C. Department of Consumer Affairs, the
government's main insurance watchdog.
The department lost half of its
employees over the past five years; today, it has about 30 staff members to
cover thousands of consumer complaints and insurance issues, one-third the
roster of the University of South Carolina football team.
In 2007, amid threats that insurance
companies would abandon coastal areas, lawmakers also stripped the agency of
its ability to challenge rate increases below 7 percent. That meant, in effect,
that an insurance company could raise rates almost at will as long as its
average increase was below 7 percent. "We've had a lot of 6.9 percent rate
increases since then," said Elliott Elam, the state's consumer advocate.
To Simons, insurance rates involve
finding a delicate balance between a company's capacity to make money and a
homeowner's ability to pay. And in the absence of a serious review of these
black boxes, he feared that homeowners on the coast are getting crushed.
Ferguson said alarm bells went off when
he heard Simons talk about this imbalance.
As a former CEO of large and heavily
regulated utilities, "I had first-hand knowledge about what happens when a
state doesn't regulate," he said. It meant millions of dollars could be
added to the company's bottom line, and millions subtracted from customers'
pockets.
Not
a crystal ball
Experts acknowledge that no computer
model can predict the future, but a new iteration of computer models has taken
a step in that direction. These new models use data on warming oceans and other
variables to forecast potential hurricane losses in a five-year period. In the
mid-2000s, these models predicted a major increase in hurricane losses, and as
a result, insurance companies sought rate increases and pulled out of coastal
areas in South Carolina and elsewhere, triggering what was widely described as
an "insurance crisis."
So far, the predictions of these new
models haven't panned out, said Karen Clark, the architect of the original
black box. In a study, she found that they overestimated losses by as much as $53
billion.
Clark told The Post and Courier that
catastrophe models are useful but crude tools, and that it makes little sense
to predict hurricane losses in the near term when meteorologists struggle to predict
how many storms might form in the coming hurricane season.
"Trying to project hurricane
experience over a short-term horizon is inherently flawed," she said.
Then again, the use of catastrophe
models has "added a degree of stability to the insurance market that
wasn't there before them," said Michael Young, a senior director with Risk
Management Solutions, the largest of the modeling companies. The industry's
performance is proof, he and other insurance experts said.
While many companies went belly-up
after Hurricane Andrew, only one went under after the devastating hurricanes in
2004 and 2005. Last year, despite horrific losses worldwide and in the United
States, the U.S. property and casualty industry made $22 billion in profits.
New
opportunities
In Beaufort, Ferguson pages through
notebooks he has compiled during his investigation. From his upstairs window,
the marsh in the Whale Branch River shimmers in the heat. He estimates that he
has spent 2,000 hours on this project, time that gave him new appreciation of
the mysteries of the Lowcountry and fewer reasons to fear that a hurricane will
blow it all away.
"We have plenty of time to get out
of the way if a storm does come our way, so the risk isn't about people
anymore; it's about property." As he grew less fearful about hurricane
season, he thought about the opportunities this new perspective presents: How a
regional campaign to promote Lowcountry tourism in the fall could generate
thousands of new jobs, how an in-depth look at insurance rates by state
regulators could stimulate the economy like a tax cut.
With homeowners shelling out $1.3
billion in premiums, even a small percentage reduction could mean tens of
millions of dollars.
But as stores put up hurricane
displays, and emergency officials issue fresh warnings to get ready for the
hurricane season, the questions in Ferguson's mind continue to spin, especially
when he goes to a picnic on Memorial Day and hears what happened to his
friends. They live in Bull Point, a subdivision well inland from Beaufort, and
they had just received a letter from their insurance company canceling their
insurance effective Aug. 29. The reason: catastrophic wind exposure.
"Why?" he asked out loud
after seeing the letter. The company hadn't explained its reasoning, or given
his friends a chance to discuss the issue. "Overall, this looks like a
monopoly gone wild," he said, "and the only one that loses is the
customer."
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